Journal ArticleDOI
Operational modal analysis for slow linear time-varying structures based on moving window second order blind identification
TLDR
The simulation results of mass time-varying three-degree-of-freedom (DOF) and cantilever beam prove that this new method can identify the modal shapes and natural frequencies of LTV structure only from non-stationary vibration response signals and the performance of identification is much better than moving window independent component analysis (ICA).About:
This article is published in Signal Processing.The article was published on 2017-04-01. It has received 15 citations till now. The article focuses on the topics: Operational Modal Analysis & Modal testing.read more
Citations
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Journal ArticleDOI
Data-driven methods for operational modal parameters identification: A comparison and application
TL;DR: A one-to-one mapping between the mathematical model of four statistical learning algorithms and physical model of dynamic systems is established and shows that the SOBI algorithm has better performance than other algorithms, and it is more suitable for operational modal identification.
Journal ArticleDOI
Application of decoupled ARMA model to modal identification of linear time-varying system based on the ICA and assumption of “short-time linearly varying”
TL;DR: In this paper, a new approach for time-varying (TV) modal parameters identification is proposed, where the entire signal is divided into successive short time windows, and the structure response under white noise excitation is transformed into modal coordinates by the Independent Component Analysis (ICA) method.
Journal ArticleDOI
A multi-task learning-based automatic blind identification procedure for operational modal analysis
TL;DR: In this paper , a multi-task deep neural network (MTDNN) was proposed to automatically and efficiently extract independent modes from multi-mode vibration responses of structures and then modal frequencies and damping ratios of structures can be extracted from independent modes via employing the conventional random decrement technique (RDT) and curve fitting approach.
Journal ArticleDOI
A New Online Operational Modal Analysis Method for Vibration Control for Linear Time-Varying Structure
TL;DR: The results show that the ERPCAWF-based approach is faster, requires less memory space, and achieves higher identification accuracy and greater stability than autocorrelation matrix recursive PCA with a forgetting factor-based OMA.
Journal ArticleDOI
Iterative Parameter Estimation Algorithms for Dual-Frequency Signal Models
TL;DR: This paper focuses on the iterative parameter estimation algorithms for dual-frequency signal models that are disturbed by stochastic noise, and a gradient-based iterative (GI) algorithm is presented based on the gradient search.
References
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Book
Time Series: Theory and Methods
TL;DR: In this article, the mean and autocovariance functions of ARIMA models are estimated for multivariate time series and state-space models, and the spectral representation of the spectrum of a Stationary Process is inferred.
Journal ArticleDOI
Reference-based stochastic subspace identification for output-only modal analysis
Bart Peeters,Guido De Roeck +1 more
TL;DR: In this paper, a novel approach of stochastic subspace identification is presented that incorporates the idea of the reference sensors already in the identification step: the row space of future outputs is projected into the rowspace of past reference outputs.
Journal ArticleDOI
Stochastic System Identification for Operational Modal Analysis: A Review
Bart Peeters,Guido De Roeck +1 more
TL;DR: In this article, a review of stochastic system identification methods that have been used to estimate the modal parameters of vibrating structures in operational conditions is presented. But it is not shown that many of these methods have an output-only counterpart.
Journal ArticleDOI
System Identification Methods for (Operational) Modal Analysis: Review and Comparison
TL;DR: In this article, the authors extensively review operational modal analysis approaches and related system identification methods and compare them in an extensive Monte Carlo simulation study, and then compare the results with the results obtained in an experimental setting.
Journal ArticleDOI
Output-only modal analysis using blind source separation techniques
TL;DR: The present study carries out output-only modal analysis using two blind source separation techniques, namely independent component analysis and second-order blind identification using the concept of virtual source.
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